A Brief Introduction to Twin Support Vector Machine Classifier

Support Vector Machine (SVM) was proposed by Vapnik and Cortes in 1995 [1]. It is a very popular and powerful classification algorithm. The main idea of SVM is to find an optimal separating hyperplane¬†between two classes. Due to SVM’s great classification ability, it has been applied to a wide variety of applications.

Over the past decade, scholars have proposed classifiers on the basis of SVM. Among the extensions of SVM, I’d like to introduce Twin Support Vector Machine (TSVM) [2]. Because it has been received more attention.

Continue reading “A Brief Introduction to Twin Support Vector Machine Classifier”